Location analytics employing timed fingerprint location information

ABSTRACT

The disclosed subject matter provides for employing timed fingerprint location information in location analytics. Timed fingerprint location information can provide a location for a user equipment. The location of the user equipment can be compared to a location analytics rule related to the location of a user equipment. Where the location satisfies a condition of the location analytics rule, the user equipment can be associated with a compliance status. Compliance, or noncompliance, can initiate further action. Further action can include reporting the compliance status, verifying the identity of a user associated with the user equipment, enforcing the location analytics rule, etc. Enforcing the location analytics rule can include alerts, fines, reporting to an authority figure or agency, etc.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is related to U.S. Ser. No. 12/712,424, filed Feb. 25,2010, now issued as U.S. Pat. No. 8,224,349, on Jul. 17, 2012, which ishereby incorporated by reference in its entirety.

TECHNICAL FIELD

The disclosed subject matter relates to location analytic technologiesand, more particularly, to leveraging timed fingerprint locationinformation to determine compliance status relative to a locationanalytic boundary condition.

BACKGROUND

Conventionally, location analytics, also known as geofencing, employsconventional location technologies to determine a location of userequipment (UE) relative to a designated boundary condition. Locationanalytic technologies often rely on location technologies such as globalpositioning system (GPS) receivers, triangulation or multilateration ofwireless radio signals such as cellular signals or access point signals,association with near field communications equipment having apredetermined location, and even from dead reckoning or accelerometertechnologies. As such, conventional geofencing technologies generallyrely on location systems that can consume significant amounts of energyor can require significant amounts of computation. These aspects ofconventional location analytics can draw down mobile equipment batteriesat an undesirably fast rate. Further, these aspects of conventionallocation analytics can consume more computational steps and can resultin slower performance for user equipment (UE).

The above-described deficiencies of conventional location analytictechnologies are merely intended to provide an overview of some ofproblems of current technology, and are not intended to be exhaustive.Other problems with the state of the art, and corresponding benefits ofsome of the various non-limiting embodiments described herein, maybecome further apparent upon review of the following detaileddescription.

SUMMARY

The following presents a simplified summary of the disclosed subjectmatter in order to provide a basic understanding of some aspects of thevarious embodiments. This summary is not an extensive overview of thevarious embodiments. It is intended neither to identify key or criticalelements of the various embodiments nor to delineate the scope of thevarious embodiments. Its sole purpose is to present some concepts of thedisclosure in a streamlined form as a prelude to the more detaileddescription that is presented later.

Various embodiments of the instant disclosure relate to locationanalytic technologies employing timed fingerprint location (TFL)technology. Timed fingerprint location technology can be as disclosed inU.S. Ser. No. 12/712,424, the application incorporated in the entiretyhereinabove by reference. In one example embodiment, a system comprisesa TFL information component to determine a location for a UE based onthe TFL information. The exemplary system further comprises a locationanalytic component to facilitate a determination of a compliance statusfor a location analytics rule. This compliance can be based on thelocation of the user equipment.

In another example embodiment, a method comprises receiving timedfingerprint location information. This TFL information can be associatedwith a UE. The method can further determine compliance with a locationanalytics rule based on the received timed fingerprint locationinformation.

In another example embodiment, a computing device comprises a processorconfigured to receive timed fingerprint location information. This TFLinformation can be associated with a user equipment. The process of isfurther configured to determine compliance with a location analyticsrule based on the TFL information. A status value can be designatedbased on compliance with the location analytics rule. Further, theprocessor can facilitate access to the designated status value.

To the accomplishment of the foregoing and related ends, the disclosedsubject matter, then, comprises one or more of the features hereinaftermore fully described. The following description and the annexed drawingsset forth in detail certain illustrative aspects of the subject matter.However, these aspects are indicative of but a few of the various waysin which the principles of the subject matter can be employed. Otheraspects, advantages, and novel features of the disclosed subject matterwill become apparent from the following detailed description whenconsidered in conjunction with the drawings.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is an illustration of a system that facilitates employing timedfingerprint location information to determine a compliance status to alocation analytics rule in accordance with aspects of the subjectdisclosure.

FIG. 2 is a depiction of a system that facilitates employing timedfingerprint location information to determine a compliance status for alocation analytics rule in accordance with aspects of the subjectdisclosure.

FIG. 3 illustrates a system that facilitates employing timed fingerprintlocation information to determine a compliance status with a locationanalytics rule and a verification component to authenticate the identityof an individual in accordance with aspects of the subject disclosure.

FIG. 4 is a depiction of a system that facilitates employing timedfingerprint location information to determine a compliance status for alocation analytics rule and an enforcement component to facilitateimplementation of an enforcement technology in accordance with aspectsof the subject disclosure.

FIG. 5 illustrates a non-limiting exemplary system facilitatingemploying timed fingerprint location information to determine acompliance status with a location analytics rule in accordance withaspects of the subject disclosure.

FIG. 6 illustrates a method employing timed fingerprint locationinformation to determine a compliance status for a location analyticsrule in accordance with aspects of the subject disclosure.

FIG. 7 illustrates a method for employing timed fingerprint locationinformation to determine a compliance status against a locationanalytics rule and verifying an identity of an individual in accordancewith aspects of the subject disclosure.

FIG. 8 illustrates a method for facilitating employing timed fingerprintlocation information to determine a compliance status for a locationanalytics rule and applying an enforcement technology in accordance withaspects of the subject disclosure.

FIG. 9 is a block diagram of an exemplary embodiment of a mobile networkplatform to implement and exploit various features or aspects of thesubject disclosure.

FIG. 10 illustrates a block diagram of a computing system operable toexecute the disclosed systems and methods in accordance with anembodiment.

DETAILED DESCRIPTION

In contrast to conventional location analytics technologies, thepresently disclosed subject matter illustrates employing timedfingerprint location information to determine a compliance status with alocation analytics rule.

The subject disclosure is now described with reference to the drawings,wherein like reference numerals are used to refer to like elementsthroughout. In the following description, for purposes of explanation,numerous specific details are set forth in order to provide a thoroughunderstanding of the subject disclosure. It may be evident, however,that the subject disclosure may be practiced without these specificdetails. In other instances, well-known structures and devices are shownin block diagram form in order to facilitate describing the subjectdisclosure.

FIG. 1 is an illustration of a system 100, which facilitates employingtimed fingerprint location information to determine a compliance statusfor a location analytics rule in accordance with aspects of the subjectdisclosure. System 100 can include timed fingerprint locationinformation component (TFLIC) 110. TFLIC 110 can facilitate access totimed fingerprint location (TFL) information. TFL information caninclude a determined location for a user equipment (UE). In one aspect,a UE can be located using TFL technology as disclosed in the referencedand incorporated application as disclosed hereinabove. This location canbe received by TFLIC 110 for use in determining compliance with ageofencing rule. As an example, a TFL enabled cell phone can impinge ona zone around a school and the TFL location of the cell phone can beused to determine the impingement in accordance with the presentdisclosure. As a second example, a TFL enabled laptop computer can leavea building, the building defining a secure zone in which the laptopshould remain, and the TFL location of the laptop can be used todetermine that the laptop is outside of the secure zone such that stepscan be undertaken to return the laptop to the secure zone.

In an aspect, TFLIC 110 can facilitate access to TFL information. TFLinformation can be a source of location information for UEs. Moreover,TFL information can be employed at various levels of granularity.Further, TFL information can be employed with little to no additionalpower consumption. TFL information can provide advantages over GPS-typetechniques, near field communication techniques, or proximity sensortechniques and is distinct from these other forms of locationdetermination.

TFL information can include location or timing information as disclosedin more detail in U.S. Ser. No. 12/712,424 filed Feb. 25, 2010, whichapplication is hereby incorporated by reference in its entirety. Assuch, TFL component 110 can facilitate access to location informationfor a UE and TFL information can be information from systems in a timedfingerprint location wireless environment, such as a TFL component of awireless telecommunications carrier. As a non-limiting example, a mobiledevice, including mobile devices not equipped with a GPS-type system,can be located by looking up timing information associated with themobile device from a TFL information reference.

In an aspect, TFL information can include information to determine adifferential value for a NodeB site pair and a bin grid frame, asdisclosed in more detail in incorporated U.S. Ser. No. 12/712,424. Acentroid region (possible locations between any NodeB site pair) for anobserved time value associated with any NodeB site pair (NBSP) can becalculated and is related to the determined value (in units of chip)from any pair of NodeBs. When UE time data is accessed, a value look-upcan be initiated (e.g., a lookup for “DV(?,X)” as disclosed in moredetail in the application incorporated herein by reference). RelevantNBSPs can be prioritized as part of the look-up. Further, the relevantpairs can be employed as an index to lookup a first primary set. As anexample, time data for a UE can be accessed in relation to a locatingevent in a TFL wireless carrier environment. In this example, it can bedetermined that a NBSP, with a first reference frame, be used forprimary set lookup with the computed DV(?,X) value as the index. Thiscan for example return a set of bin grid frame locations forming ahyperbola between the NodeBs of the NBSP. A second lookup can then beperformed for an additional relevant NBSP, with a second referenceframe, using the same value DV(?,X), as an index into the data set.Continuing the example, the returned set for the look up with secondNBSP can return a second set of bin grid frames. Thus, the UE is likelylocated in both sets of bin grid frames. Therefore, where the UE islikely in both sets, it is probable that the location for the UE is atan intersection of the two sets. Additional NBSPs can be included tofurther narrow the possible locations of the UE by providing additionalintersections among relevant bin grid sets. As such, employing TFLinformation for location determination is demonstrably different fromconventional location determination techniques or systems such as GPS,eGPS, triangulation or multilateration in wireless carrier environments,near field techniques, or proximity sensors.

In an aspect, TFL information can be particularly well suited tolocation analytic technologies in that TFL information lookup generallyrequires less computation that other location technologies. For example,in conventional multilateration systems, complex math is typicallyemployed to convert a plurality of measured signals into a location. Incontrast, TFL information is generally pre-computed and could employsimple lookup techniques to garner probable locations of a UE based onoverlapping bin grid locations for a plurality of NodeB Site Pairs(NBSPs) as disclosed more fully in the referenced application.

In a further aspect, TFL information can be acquired based on timingsignals already being received by a typical UE and, as such, power neednot typically be expended on an additional radio receiver as would becommon in more conventional location technologies such as GPS. Forexample, in contrast to a GPS system having a GPS receiver to receiveGPS signals, a TFL enabled smartphone can employ wireless radio timingsignals associated with the wireless cellular service of the smartphoneto determine location such that both location information and cellularservice are accommodated on the same radio and additional energy for asecond radio need not be expended. As such, TFL information can be wellsuited to portable user equipment that typically is both highly powerconscious and relatively processor limited as compared to theirnon-mobile counterparts. It is to be appreciated that where the locationof a mobile device can be achieved with TFL information without boggingdown a processor or further increasing battery depletion in the mobiledevice, the use of TFL information for location analytics of the mobiledevice is well suited.

System 100 can further comprise location analytic comportment (LAC) 120.LAC 120 can be coupled to TFLIC 110. As such, LAC 120 can receivelocation information from TFLIC 110. Location analytic component 120 candetermine a compliance status for a location analytics rule based on TFLinformation. Compliance status can indicate a compliant status ornon-compliant status for a given location analytics rule. For example, arule can be that a UE is not within a predetermined bin grid location“AA”; is not within a predetermined number of meters from a location; iswithin a predetermined number of units of chip from a predeterminedboundary; etc. For each of these exemplary conditions, compliance can bedetermined, such as, where TFL information indicates that UE is withinbin grid location “AA”, then the UE is non-compliant with the exemplarygeofence rule. Similarly, where TFL information indicates that UE iswithin the predetermined number of units of chip from a predeterminedboundary, then the UE is compliant with the exemplary location analyticrule.

In an aspect, location analytics can be employed to determine when a UEenters a geofenced region, leaves a geofenced region, is in a geofencedregion, in not in a geofenced region, is approaching a geofenced region,is becoming more distant from geofenced region, etc. This can occur in1-dimension, such as determining when a UE is above or below a certainaltitude; in 2-dimensions, such as if a UE is approaching atopographical boundary at street level; in 3-dimensions, such as if a UEis leaving a particular floor in an office building; in 4-dimensions,such as determining compliance with a rule as a function of the rate atwhich a UE is transitioning in three other dimensions, for example,determining that an airplane is descending too rapidly and is thusexceeding a safety performance condition; etc.

In a further aspect, location analytic rules can be of nearly any levelof complexity. As such, the use of TFL information can be employed inone or more aspects of determining the status of compliance with ageofencing rule. For example, a geofencing rule can be a compound rulethat bases compliance on both location and status of a UE, for example,a UE can be non-compliant where the UE is in an airplane at takeoff anda radio is transmitting signals, while the same UE can be compliantwhere the UE is in an airplane at takeoff and not transmitting radiosignals (e.g. a rule reflecting federal aviation administration rulesabout turning off all transmitting radio devices for takeoff). Furthermore or less complex location analytics rules can be readily illustratedbut are not explicitly recited here simply for brevity; however, allsuch examples are considered within the scope of the present disclosure.

In an embodiment, LAC 120 can determine compliance status at one or morelevels of certainty in the location of a UE based on TFL information.Whereas a location can be determined with increasing certainty as afunction of the number of NBSPs employed in the TFL information, LAC 120can similarly provide an increasing level of certainty in the compliancestatus determination as a function of the number of NBSPs employed inthe TFL information. For example, where two NBSPs are employed, thelikely location, with a first level of certainty, can be based on theoverlap of the two centroids, one from each NBSP. In contrast, wherefive NBSPs are employed, the likely location can be based, with a secondlevel of certainty, on the overlap of the five centroids, one from eachNBSP. There can be increased confidence a UE is at the intersection offive centroids as compared to the intersection of two centroids.

In an aspect, TFL can be employed at various levels of granularity.Different TFL information granularities can be associated with differentlevels of efficiency. For example, a coarse grain TFL location can bebased on fewer NBSPs than fine grain TFL information; coarse grain TFLinformation can be based on shorter timing information than fine grainTFL information (e.g., an 8-bit time compared to a 32-bit time or a128-bit time, etc.); coarse grain TFL information can include knownerrors that can be compensated for in fine grain TFL information, etc.Whereas different levels of TFL granularity can be available, TFL lookupcan be conducted at a first level of granularity and then at a secondlevel of granularity where a condition is met at the first level ofgranularity. For example, a coarse TFL granularity can be employed tosimply include or exclude a UE within a geofenced region. Where theexemplary UE is found to be included in the geofenced region, fine grainTFL location information can be received to confirm if the UE is indeedwithin the geofenced region. As a non-limiting illustrative example, afirst TFL information can be employed to determine if a UE is within 2miles of the center of a naval shipyard and, where the UE is at firstdetermined to be outside the two mile region, a second TFL informationcan be employed to determine that the UE is actually in the shipyard butis located at a boundary gate to the shipyard located at 2.01 miles fromthe center of the shipyard. This illustrates the use of course and finegrain TFL information. Other examples, though considered to be withinthe present scope, are not explicitly recited for brevity.

FIG. 2 is a depiction of a system 200 that can facilitate employingtimed fingerprint location information to determine a compliance statusfor a location analytics rule in accordance with aspects of the subjectdisclosure. System 200 can include TFLIC 210. TFLIC 210 can receive TFLinformation. TFL information can include location information for a UE.TFLIC 210 can be communicatively coupled to LAC 220. LAC 220 candetermine a compliance status for a location analytic rule based on theTFL information received at TFLIC 210.

LAC 220 can include decision engine component 230. Decision enginecomponent 230 can facilitate determining a compliance status to alocation analytic rule. In an aspect, decision engine component 230 canapply TFL location information to location analytics rules to determinea compliance status. Determinations of compliance status can includedetermining that a UE is in a region, out of a region, approaching aregion, withdrawing from a region, entering a region, exiting a region,etc. For example, where TFL information indicates a UE location as 123Main St., the UE can be determined to be out of compliance with alocation analytics rule reflecting a filed protective order indicatingthat the registered owner of the UE is directed to not be within 500feet of 123 Main St.

Decision engine component 230 can include rule component 240 tofacilitate receiving a location analytics rule. Rule component 240 canfacilitate receiving or generating a location analytics rule. In anembodiment, rule component 240 can be a rule engine that allows theapplication of logical determinations to be embodied in one or morealgorithms related to the analysis of a UE location. As a non-limitingexample, rule component 240 can generate a rule that indicatescompliance when a UE location, based on TFL information, is not withinan establishment registered to serve hard liquor, such as bars having astate issued hard liquor license. This example could then be used ingeofencing the owner of the UE from entering hard liquor bars, such aswhere this behavior is court ordered as part of an alcohol treatmentprogram. As a second non-limiting example, rule component 240 can accessa rule that indicates compliance when a UE location, based on TFLinformation, is inside a predetermined envelope for a route between adesignated UE user's home and school, such as to facilitate parentalmonitoring of a child on their walk to and from school each day.Numerous other examples of rules or logic will be readily appreciatedand are considered within the scope of the disclosed subject matter eventhough they are not explicitly recited herein for brevity and clarity.

FIG. 3 illustrates a system 300 that facilitates employing timedfingerprint location information to determine a compliance status with alocation analytics rule and a verification component to authenticate theidentity of an individual in accordance with aspects of the subjectdisclosure. System 300 can include TFLIC 310. TFLIC 310 can receive TFLinformation. TFL information can include location information for a UE.TFLIC 310 can be communicatively coupled to LAC 320. LAC 320 candetermine a compliance status for a location analytic rule based on theTFL information received at TFLIC 310. LAC 320 can include decisionengine component 330. Decision engine component 330 can facilitatedetermining a compliance status to a location analytic rule. Decisionengine component 330 can include rule component 340 to facilitatereceiving a location analytics rule. Rule component 340 can facilitatereceiving or generating a location analytics rule.

System 300 can further include verification component 350. Verificationcomponent 350 can facilitate verification of a registered owner ordesignated user of a UE. Verification can include verification of anidentity. For example, verification component 350 can receive biometricinformation to verify a user of a UE, such as, a voiceprint, an irisscan, a fingerprint, etc. As a second example, verification component350 can receive information satisfying a predetermined condition toverify a user of a UE, such as, an answer to a predetermined question,entry of a personal identification number (PIN), interaction with apredetermined identifier such as with a credit card or State issued orcorporate issued identification card for a user, etc.

In an aspect, verification component 350 can be employed in conjunctionwith determinations of a compliance status, such as where a UE enters aprohibited geofence location, verification of the user of the UE can beundertaken. For example, where a user is prohibited from entering agambling establishment and the UE is determined to be at a gamblingestablishment, an automated phone call for voiceprint verification ofthe UE user can be employed to verify that the user is at the prohibitedlocation. Where the exemplary user does not engage in the verificationprocess, assumptions can be made about the identity of the UE user.

Verification component 350 can receive identification information by wayof profile component 360. Profile component 360 can receive informationrelated to a user of a UE to facilitate identification of the user byway of verification component 350. Examples of profile information caninclude voiceprints, fingerprints, iris prints, PINs, State issuedidentification identifiers, credit card information for identification,predetermined questions and appropriate answers for a “call andresponse” verification system, etc.

Further, in an embodiment, system 300 can include notification component370. Notification component 370 can facilitate access to notificationsrelated to compliance status and verification status. For example, wherea user is talking on a phone and they leave a predetermined geofencedregion, verification component 350 can access the telephone call to geta voice sample of the user and can compare that to a voice referencefrom profile component 360 to verify that the user is indeed collocatedwith the phone. Notification component can then allow notification ofthe departure from the geofenced region by the user to be logged. Thisexample can be used to track employees, such as delivery drivers, whoare departing from their assigned routes, etc. Examples of anotification component 370 logging compliance status and/oridentification verification can readily be stated for employer/employeescenarios, parent/child scenarios, court and law enforcement scenarios,school and truancy scenarios, security scenarios, medical/healthscenarios, etc., all of which are to be considered within the scope ofthe present disclosure even where, for brevity and clarity, furtherexplicit examples are not provided.

FIG. 4 is a depiction of a system 400 that facilitates employing timedfingerprint location information to determine a compliance status for alocation analytics rule and an enforcement component to facilitateimplementation of an enforcement technology in accordance with aspectsof the subject disclosure. System 400 can include TFLIC 10. TFLIC 410can receive TFL information. TFL information can include locationinformation for a UE. TFLIC 410 can be communicatively coupled to LAC420. LAC 420 can determine a compliance status for a location analyticrule based on the TFL information received at TFLIC 410. LAC 420 caninclude decision engine component 430. Decision engine component 430 canfacilitate determining a compliance status to a location analytic rule.Decision engine component 430 can include rule component 440 tofacilitate receiving a location analytics rule. Rule component 440 canfacilitate receiving or generating a location analytics rule.

System 400 can further include enforcement component 450. Enforcementcomponent 450 can facilitate enforcing location analytics rules. Assuch, where compliance status changes are undesirable, enforcementcomponent 450 can implement technologies to promote a status quo forcompliance status. Enforcement can be by way of notification ofpotential or actual changes in compliance status, penalties, fines,alarms, notification of services or authorities, interaction with otherdevices, etc. For example, where a TFL enabled laptop is approaching asecurity boundary in a corporate environment (e.g., to prevent laptopswith sensitive information from leaving a corporate facility) a phonecall or a text message can be sent to the associated user of the laptopto put them on notice that the laptop should not leave the geofencedregion. Where the exemplary laptop does leave the region despite thewarning, enforcement component 450 can encrypt or destroy sensitive dataon the laptop and the user's supervisor can be alerted to the event.Further enforcement can occur as the exemplary scenario develops, suchas disabling the user's vehicle to prevent them from driving off thecorporate facility with the laptop, etc. As a second non-limitingexample, where a UE is determined to be on a plane as it is preparing totaxi for takeoff, the UE can alert the user, then, where no appropriateaction is taken by the user, the UE can automatically go into “airplane”mode (e.g., turning off transmitting radios), can initiate a power downsequence, can alert the flight crew, can cause an audible alert oralarm, etc.

FIG. 5 illustrates a non-limiting exemplary system 500 facilitatingemploying timed fingerprint location information to determine acompliance status with a location analytics rule in accordance withaspects of the subject disclosure. System 500 can include UE 582 thatcan include TFLIC 510 and LAC 520. TFLIC 510 can facilitate determiningthe location of UE 582 based on TFL information as disclosed herein. LAC520 can facilitate determining a compliance status with a locationanalytics rule based on the location of UE 582 as disclosed herein.

In exemplary system 500, UE 582 can be, for example, a cell phonebelonging to a teenage child. The parents of the child can havedesignated a region 587 between school 585 and home 586 that the UEwould be expected to be in on child's trip home from school along route583. UE 582 can receive timing signals 591 from a NBSP at 590 and timingsignals 593 from NBSP 592. These timing signals can facilitate locatingUE 582 by way of TFL technology as disclosed in the incorporatedapplication as mention herein before. In the exemplary system 500, childcan deviate from the usual path home along 583 to visit a friend's house588 by way of route 584 from T(0) to T(1), as illustrated.

TFLIC 510 can receive TFL information by way of signal 591 and 593. ThisTFL information can be employed to determine the location of UE 582. LAC520 can determine a compliance status with regard to the locationdetermined from the TFL information. Wherein UE 582 is within region587, as UE 582 is at T(0), the compliance status can indicate that UE582 is compliant with a location analytics rule that UE 582 should be inregion 587. However, where UE 582 is detected to exit region 587, e.g.,between T(0) and T(1), the compliance status can be determined totransition from compliance to non-compliance for the aforementionedlocation analytics rule.

In response to non-compliance in exemplary system 500, a verificationcomponent (not illustrated) can employ verification technologies asdisclosed hereinabove. For example, an automated telephone call can bemade to UE 582 to verify that child is using UE 582. This can be usefulas it associates an identification of a user with the non-compliant UE582. Thus, if cell phone 582 were stolen, the verification process couldindicate that child was not using the device when it left region 587.Further, notification can be sent, for example by a notificationcomponent (not illustrated), to child's parents indicating thenon-compliant condition. The verification and notification technologiescan escalate the response to the non-compliant condition based onsubsequent rules. For example, where child authenticates with an“distress or emergency PIN”, this can cause an automated “Amber Alert”and notification of law enforcement. As another example, child canindicate that an alternative path, e.g., 584, is being employed and analternate location analytics region rule can be selected by child'sparents for monitoring child on path 584. Numerous other examples ofsubsequent rules are to be appreciated as being within the scope of thedisclosed subject matter although they are not herein explicitlyrecited.

FIG. 5 is presented only to better illustrate some of the benefits ofthe presently disclosed subject matter and is explicitly not intended tolimit the scope of the disclosure to the various aspects particular tothe presently illustrated non-limiting example. In some embodiments, theuse of GPS or other location technology can be included as complimentaryto TFL information without departing from the scope of the presentdisclosure. It is noteworthy that GPS or other location information froma UE is not required to determine TFL information as disclosed in therelated application. Thus, even where legacy UEs, e.g., UEs without GPSor eGPS capabilities, are included in system 500, the timing informationfor those legacy devices can be employed in TFL location informationdeterminations. This can be particularly useful in regions that havelimited distribution of GPS enabled UEs or where GPS functions poorlydue to environmental factors such as urban cores, mountainous regions,etc.

In view of the example system(s) described above, example method(s) thatcan be implemented in accordance with the disclosed subject matter canbe better appreciated with reference to flowcharts in FIG. 6-FIG. 8. Forpurposes of simplicity of explanation, example methods disclosed hereinare presented and described as a series of acts; however, it is to beunderstood and appreciated that the claimed subject matter is notlimited by the order of acts, as some acts may occur in different ordersand/or concurrently with other acts from that shown and describedherein. For example, one or more example methods disclosed herein couldalternatively be represented as a series of interrelated states orevents, such as in a state diagram. Moreover, interaction diagram(s) mayrepresent methods in accordance with the disclosed subject matter whendisparate entities enact disparate portions of the methodologies.Furthermore, not all illustrated acts may be required to implement adescribed example method in accordance with the subject specification.Further yet, two or more of the disclosed example methods can beimplemented in combination with each other, to accomplish one or moreaspects herein described. It should be further appreciated that theexample methods disclosed throughout the subject specification arecapable of being stored on an article of manufacture (e.g., acomputer-readable medium) to allow transporting and transferring suchmethods to computers for execution, and thus implementation, by aprocessor or for storage in a memory.

FIG. 6 illustrates aspects of a method 600 employing timed fingerprintlocation information to facilitate determining a compliance status for alocation analytics rule in accordance with aspects of the subjectdisclosure. At 610, method 600 can receive timed fingerprint location(TFL) information. TFL information can include a determined location fora UE.

TFL information can further include location information as disclosed inmore detail in U.S. Ser. No. 12/712,424 filed Feb. 25, 2010, whichapplication, as previously stated, is hereby incorporated by referencein its entirety. As such, TFL information can include locationinformation for a UE based on timing information. As a non-limitingexample, a mobile device, including mobile devices not equipped with aGPS-type system, can be located by looking up timing informationassociated with the mobile device from a TFL information reference. Assuch, the exemplary mobile device can be located using TFL informationwithout employing GPS-type techniques. In an aspect, TFL information caninclude information to determine a DV(?,X). The centroid region(possible locations between any site pair) for an observed time valueassociated with any NodeB site pair (NBSP) can be calculated and isrelated to the determined value (in units of chip) from any pair ofNodeBs. When UE time data is accessed, a DV(?,X) look-up can beinitiated. Relevant NBSPs can be prioritized as part of the look-up.Further, the relevant pairs can be employed as an index to lookup afirst primary set. As an example, time data for a UE can be accessed inrelation to a locating event in a TFL wireless carrier environment. Inthis example, it can be determined that a NBSP, with a first referenceframe, be used for primary set lookup with the computed DV(?,X) value asthe index. This can for example return a set of bin grid frameslocations forming a hyperbola between the NodeBs of the NBSP. A secondlookup can then be performed for an additional relevant NBSP, with asecond reference frame, using the same value DV(?,X), as an index intothe data set. Continuing the example, the returned set for the look upwith second NBSP can return a second set of bin grid frames. Thus, theUE is likely located in both sets of bin grid frames. Therefore, wherethe UE is most likely in both sets, it is probable that the location forthe UE is at the intersection of the two sets. Additional NBSPs can beincluded to further narrow the possible locations of the UE. EmployingTFL information for location determination is demonstrably differentfrom conventional location determination techniques or systems such asGPS, eGPS, triangulation or multilateration in wireless carrierenvironments, near field techniques, or proximity sensors.

At 620, compliance with a location analytics rule can be determinedbased on the received TFL location information. At this point, method600 can end. In an aspect, determining a compliance status can indicatea compliant status or non-compliant status for a given locationanalytics rule. Further, a compliance status can include determiningthat a UE is in a region, out of a region, approaching a region,withdrawing from a region, entering a region, exiting a region, etc.Compliance can be based on varying levels of TFL information granularityand in one or more dimensions as previously disclosed. Moreover,location analytics rules can be of nearly any level of complexity andcan include rule schemas. A rule schema can designate a series of rulesubsets to be analyzed in a predetermined order. For example, a ruleschema can designate that coarse grain TFL information be employed, thenwhere a predetermined condition is met, that finer grain TFL informationbe used, where the fine grain TFL information analysis satisfies apredetermined condition, a particular series of authentication andnotification methods can be applied.

As an example of method 600, a TFL enabled delivery vehicle can becomemired in traffic. The location of the vehicle in four dimensions, e.g.,x, y, z, and time, can be determined from TFL information. A locationanalytics rule can be related to compliance with the vehicle traversinga predetermined path in a particular time frame to successfully delivera package in a timely manner. Compliance with this exemplary rule can bedetermined from the TFL information. Where the vehicle is determined tobe noncompliant, e.g., the location and time of the vehicle indicatethat the package will not be delivered in a timely fashion, notificationcan be sent to the intended recipient of the package indicating a likelytardy delivery and to the fleet manager. Numerous other examples arereadily apparent and are not herein explicitly included for brevity andclarity, though all such examples are within the scope of the subjectmaterial.

FIG. 7 illustrates a method 700 for employing timed fingerprint locationinformation for determining a compliance status against a locationanalytics rule and verifying an identity of an individual in accordancewith aspects of the subject disclosure. At 710, method 700 can receivetimed fingerprint location (TFL) information. TFL information caninclude a determined location for a UE. At 720, compliance with alocation analytics rule can be determined based on the received TFLlocation information.

At 730, the identification of a user can be verified in response to thecompliance determination. Verification technologies can includebiometrics, passwords, PINs, catechistic question and answer sets, etc.For example, an identity can be verified by an iris scan, a voiceprintmatch, fingerprint, correctly answering a predetermined securityquestion, scanning a corporate identity card, scanning a credit card,etc. Verification of a user can be desirable to correlate the locationof a user the TFL location of a UE. For example, where locationanalytics employing TFL information is employed in enforcing homearrest, if the UE leaves the predetermined compliance region around thehome, verifying that the user of the UE is with the UE can be animportant consideration.

At 740, the determined compliance condition can be logged. Similarly, at750, the identification verification result can be logged. At thispoint, method 700 can end. Logging compliance and identity verificationinformation can facilitate formulating exception reports for managementof location analytics subscribers. For example, a report can be sent toa parent indicating the number of times a high school aged child leftcampus in a week, month, quarter, year, etc. Similarly, a paroleenforcement office can access logs of compliance data for a paroleeindicating, for example, the number of times a parolee was near a bar,gambling establishment, school zone, playground, etc.

FIG. 8 illustrates a method 800 for facilitating employing timedfingerprint location information in determining a compliance status fora location analytics rule and applying an enforcement technology inaccordance with aspects of the subject disclosure. At 810, method 800can receive timed fingerprint location information. TFL information caninclude a determined location for a UE. At 820, compliance with alocation analytics rule can be determined based on the received TFLlocation information.

At 830, conditions of a location analytics rule can be enforced. Thiscan be in response to the determination of compliance at 820. At thispoint, method 800 can end. Enforcing a location analytics rule caninclude, for example, alerts or notifications, penalties, alarms,interaction with other user equipment, inclusion of supervisory partiesor law enforcement, etc. For example, where a pedophile on parole isviolating a location analytics rule by being within 100 feet of aplayground, notification can be sent to the pedophile's UE toimmediately withdraw from the area. Where withdrawal does not quicklyoccur, the process can escalate to sounding an audible alarm on thepedophile's UE and sending text messages to UEs of parents in thevicinity of the playground to keep a close eye on children. Moreover,law enforcement can be alerted to the proximity of the pedophile to theplayground and the violation of the condition can be logged with arelevant parole officer. As a second example, where a UE with a camera,e.g., most modern phones, enters a photo-restricted region of a militarybase, enforcement can include notifying the owner of the UE,notification of military law enforcement as to the condition, disablingthe UE camera functionality, assessing a fine to the owner's account forviolating the location analytics rule, etc.

FIG. 9 presents an example embodiment 900 of a mobile network platform910 that can implement and exploit one or more aspects of the subjectinnovation described herein. Generally, wireless network platform 910can include components, e.g., nodes, gateways, interfaces, servers, ordisparate platforms, that facilitate both packet-switched (PS) (e.g.,internet protocol (IP), frame relay, asynchronous transfer mode (ATM))and circuit-switched (CS) traffic (e.g., voice and data), as well ascontrol generation for networked wireless telecommunication. As anon-limiting example, wireless network platform 910 can be included aspart of a telecommunications carrier network, includingtelecommunications carrier networks employing timed fingerprint locationenvironments. Mobile network platform 910 includes CS gateway node(s)912 which can interface CS traffic received from legacy networks liketelephony network(s) 940 (e.g., public switched telephone network(PSTN), or public land mobile network (PLMN)) or a signaling system #7(SS7) network 970. Circuit switched gateway node(s) 912 can authorizeand authenticate traffic (e.g., voice) arising from such networks.Additionally, CS gateway node(s) 912 can access mobility, or roaming,data generated through SS7 network 970; for instance, mobility datastored in a visited location register (VLR), which can reside in memory930. Moreover, CS gateway node(s) 912 interfaces CS-based traffic andsignaling and PS gateway node(s) 918. As an example, in a 3GPP UMTSnetwork, CS gateway node(s) 912 can be realized at least in part ingateway GPRS support node(s) (GGSN). It should be appreciated thatfunctionality and specific operation of CS gateway node(s) 912, PSgateway node(s) 918, and serving node(s) 916, is provided and dictatedby radio technology(ies) utilized by mobile network platform 910 fortelecommunication.

In addition to receiving and processing CS-switched traffic andsignaling, PS gateway node(s) 918 can authorize and authenticatePS-based data sessions with served mobile devices. Data sessions caninclude traffic, or content(s), exchanged with networks external to thewireless network platform 910, like wide area network(s) (WANs) 950,enterprise network(s) 970, and service network(s) 980, which can beembodied in local area network(s) (LANs), can also be interfaced withmobile network platform 910 through PS gateway node(s) 918. It is to benoted that WANs 950 and enterprise network(s) 960 can embody, at leastin part, a service network(s) like IP multimedia subsystem (IMS). Basedon radio technology layer(s) available in technology resource(s) 917,packet-switched gateway node(s) 918 can generate packet data protocolcontexts when a data session is established; other data structures thatfacilitate routing of packetized data also can be generated. To thatend, in an aspect, PS gateway node(s) 918 can include a tunnel interface(e.g., tunnel termination gateway (TTG) in 3GPP UMTS network(s) (notshown)) which can facilitate packetized communication with disparatewireless network(s), such as Wi-Fi networks.

In embodiment 900, wireless network platform 910 also includes servingnode(s) 916 that, based upon available radio technology layer(s) withintechnology resource(s) 917, convey the various packetized flows of datastreams received through PS gateway node(s) 918. It is to be noted thatfor technology resource(s) 917 that rely primarily on CS communication,server node(s) can deliver traffic without reliance on PS gatewaynode(s) 918; for example, server node(s) can embody at least in part amobile switching center. As an example, in a 3GPP UMTS network, servingnode(s) 916 can be embodied in serving GPRS support node(s) (SGSN).

For radio technologies that exploit packetized communication, server(s)914 in wireless network platform 910 can execute numerous applicationsthat can generate multiple disparate packetized data streams or flows,and manage (e.g., schedule, queue, format . . . ) such flows, includingreceiving timing information for radio communication with wirelessnetwork platform resources, e.g., NodeBs, related to TFL technologiesand, as such, facilitate generation of TFL information. Suchapplication(s) can include add-on features to standard services (forexample, provisioning, billing, customer support . . . ) provided bywireless network platform 910. Data streams (e.g., content(s) that arepart of a voice call or data session) can be conveyed to PS gatewaynode(s) 918 for authorization/authentication and initiation of a datasession, and to serving node(s) 916 for communication thereafter. Inaddition to application server, server(s) 914 can include utilityserver(s), a utility server can include a provisioning server, anoperations and maintenance server, a security server that can implementat least in part a certificate authority and firewalls as well as othersecurity mechanisms, and the like. In an aspect, security server(s)secure communication served through wireless network platform 910 toensure network's operation and data integrity in addition toauthorization and authentication procedures that CS gateway node(s) 912and PS gateway node(s) 918 can enact. Moreover, provisioning server(s)can provision services from external network(s) like networks operatedby a disparate service provider; for instance, WAN 950 or GlobalPositioning System (GPS) network(s) (not shown). Provisioning server(s)can also provision coverage through networks associated to wirelessnetwork platform 910 (e.g., deployed and operated by the same serviceprovider), such as femto-cell network(s) (not shown) that enhancewireless service coverage within indoor confined spaces and offload RANresources in order to enhance subscriber service experience within ahome or business environment.

It is to be noted that server(s) 914 can include one or more processorsconfigured to confer at least in part the functionality of macro networkplatform 910. To that end, the one or more processor can execute codeinstructions stored in memory 930, for example. It is should beappreciated that server(s) 914 can include a content manager 915, whichoperates in substantially the same manner as described hereinbefore.

In example embodiment 900, memory 930 can store information related tooperation of wireless network platform 910. Other operationalinformation can include provisioning information of mobile devicesserved through wireless platform network 910, subscriber databases;application intelligence, pricing schemes, e.g., promotional rates,flat-rate programs, couponing campaigns; technical specification(s)consistent with telecommunication protocols for operation of disparateradio, or wireless, technology layers; and so forth. Memory 930 can alsostore information from at least one of telephony network(s) 940, WAN950, enterprise network(s) 960, or SS7 network 970. In an aspect, memory930 can be, for example, accessed as part of a data store component oras a remotely connected memory store.

FIG. 10 illustrates a block diagram of a computing system 1000 operableto execute the disclosed systems and methods in accordance with anembodiment. Computer 1012, which can be, for example, part of locationanalytic component 120 or timed fingerprint location informationcomponent 110, includes a processing unit 1014, a system memory 1016,and a system bus 1018. System bus 1018 couples system componentsincluding, but not limited to, system memory 1016 to processing unit1014. Processing unit 1014 can be any of various available processors.Dual microprocessors and other multiprocessor architectures also can beemployed as processing unit 1014.

System bus 1018 can be any of several types of bus structure(s)including a memory bus or a memory controller, a peripheral bus or anexternal bus, and/or a local bus using any variety of available busarchitectures including, but not limited to, Industrial StandardArchitecture (ISA), Micro-Channel Architecture (MSA), Extended ISA(EISA), Intelligent Drive Electronics, VESA Local Bus (VLB), PeripheralComponent Interconnect (PCI), Card Bus, Universal Serial Bus (USB),Advanced Graphics Port (AGP), Personal Computer Memory CardInternational Association bus (PCMCIA), Firewire (IEEE 1194), and SmallComputer Systems Interface (SCSI).

System memory 1016 includes volatile memory 1020 and nonvolatile memory1022. A basic input/output system (BIOS), containing routines totransfer information between elements within computer 1012, such asduring start-up, can be stored in nonvolatile memory 1022. By way ofillustration, and not limitation, nonvolatile memory 1022 can includeROM, PROM, EPROM, EEPROM, or flash memory. Volatile memory 1020 includesRAM, which acts as external cache memory. By way of illustration and notlimitation, RAM is available in many forms such as SRAM, dynamic RAM(DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM),enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), Rambus direct RAM(RDRAM), direct Rambus dynamic RAM (DRDRAM), and Rambus dynamic RAM(RDRAM).

Computer 1012 also includes removable/non-removable,volatile/non-volatile computer storage media. FIG. 10 illustrates, forexample, disk storage 1024. Disk storage 1024 includes, but is notlimited to, devices like a magnetic disk drive, floppy disk drive, tapedrive, Jaz drive, Zip drive, LS-100 drive, flash memory card, or memorystick. In addition, disk storage 1024 can include storage mediaseparately or in combination with other storage media including, but notlimited to, an optical disk drive such as a compact disk ROM device(CD-ROM), CD recordable drive (CD-R Drive), CD rewritable drive (CD-RWDrive) or a digital versatile disk ROM drive (DVD-ROM). To facilitateconnection of the disk storage devices 1024 to system bus 1018, aremovable or non-removable interface is typically used, such asinterface 1026. For example, disk storage 1024 can store one or more TFLlookup tables facilitating lookup of location information based on NodeBsite pairs and time values, location analytics rules or algorithms,enforcement enabling technologies, etc.

Computing devices typically include a variety of media, which caninclude computer-readable storage media or communications media, whichtwo terms are used herein differently from one another as follows.

Computer-readable storage media can be any available storage media thatcan be accessed by the computer and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media can be implementedin connection with any method or technology for storage of informationsuch as computer-readable instructions, program modules, structureddata, or unstructured data. Computer-readable storage media can include,but are not limited to, RAM, ROM, EEPROM, flash memory or other memorytechnology, CD-ROM, digital versatile disk (DVD) or other optical diskstorage, magnetic cassettes, magnetic tape, magnetic disk storage orother magnetic storage devices, or other tangible and/or non-transitorymedia which can be used to store desired information. Computer-readablestorage media can be accessed by one or more local or remote computingdevices, e.g., via access requests, queries or other data retrievalprotocols, for a variety of operations with respect to the informationstored by the medium.

Communications media typically embody computer-readable instructions,data structures, program modules, or other structured or unstructureddata in a data signal such as a modulated data signal, e.g., a carrierwave or other transport mechanism, and includes any information deliveryor transport media. The term “modulated data signal” or signals refersto a signal that has one or more of its characteristics set or changedin such a manner as to encode information in one or more signals. By wayof example, and not limitation, communication media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

It can be noted that FIG. 10 describes software that acts as anintermediary between users and computer resources described in suitableoperating environment 1000. Such software includes an operating system1028 (e.g., OS component(s) 312, etc.) Operating system 1028, which canbe stored on disk storage 1024, acts to control and allocate resourcesof computer system 1012. System applications 1030 take advantage of themanagement of resources by operating system 1028 through program modules1032 and program data 1034 stored either in system memory 1016 or ondisk storage 1024. It is to be noted that the disclosed subject mattercan be implemented with various operating systems or combinations ofoperating systems.

A user can enter commands or information into computer 1011 throughinput device(s) 1036. Input devices 1036 include, but are not limitedto, a pointing device such as a mouse, trackball, stylus, touch pad,keyboard, microphone, joystick, game pad, satellite dish, scanner, TVtuner card, digital camera, digital video camera, web camera, cellphone, smartphone, tablet computer, etc. These and other input devicesconnect to processing unit 1014 through system bus 1018 by way ofinterface port(s) 1038. Interface port(s) 1038 include, for example, aserial port, a parallel port, a game port, a universal serial bus (USB),an infrared port, a Bluetooth port, an IP port, or a logical portassociated with a wireless service, etc. Output device(s) 1040 use someof the same type of ports as input device(s) 1036.

Thus, for example, a USB port can be used to provide input to computer1012 and to output information from computer 1012 to an output device1040. Output adapter 1042 is provided to illustrate that there are someoutput devices 1040 like monitors, speakers, and printers, among otheroutput devices 1040, which use special adapters. Output adapters 1042include, by way of illustration and not limitation, video and soundcards that provide means of connection between output device 1040 andsystem bus 1018. It should be noted that other devices and/or systems ofdevices provide both input and output capabilities such as remotecomputer(s) 1044.

Computer 1012 can operate in a networked environment using logicalconnections to one or more remote computers, such as remote computer(s)1044. Remote computer(s) 1044 can be a personal computer, a server, arouter, a network PC, a workstation, a microprocessor based appliance, apeer device, or other common network node and the like, and typicallyincludes many or all of the elements described relative to computer1012.

For purposes of brevity, only a memory storage device 1046 isillustrated with remote computer(s) 1044. Remote computer(s) 1044 islogically connected to computer 1012 through a network interface 1048and then physically connected by way of communication connection 1050.Network interface 1048 encompasses wire and/or wireless communicationnetworks such as local-area networks (LAN) and wide-area networks (WAN).LAN technologies include Fiber Distributed Data Interface (FDDI), CopperDistributed Data Interface (CDDI), Ethernet, Token Ring and the like.WAN technologies include, but are not limited to, point-to-point links,circuit switching networks like Integrated Services Digital Networks(ISDN) and variations thereon, packet switching networks, and DigitalSubscriber Lines (DSL). As noted below, wireless technologies may beused in addition to or in place of the foregoing.

Communication connection(s) 1050 refer(s) to hardware/software employedto connect network interface 1048 to bus 1018. While communicationconnection 1050 is shown for illustrative clarity inside computer 1012,it can also be external to computer 1012. The hardware/software forconnection to network interface 1048 can include, for example, internaland external technologies such as modems, including regular telephonegrade modems, cable modems and DSL modems, ISDN adapters, and Ethernetcards.

The above description of illustrated embodiments of the subjectdisclosure, including what is described in the Abstract, is not intendedto be exhaustive or to limit the disclosed embodiments to the preciseforms disclosed. While specific embodiments and examples are describedherein for illustrative purposes, various modifications are possiblethat are considered within the scope of such embodiments and examples,as those skilled in the relevant art can recognize.

In this regard, while the disclosed subject matter has been described inconnection with various embodiments and corresponding Figures, whereapplicable, it is to be understood that other similar embodiments can beused or modifications and additions can be made to the describedembodiments for performing the same, similar, alternative, or substitutefunction of the disclosed subject matter without deviating therefrom.Therefore, the disclosed subject matter should not be limited to anysingle embodiment described herein, but rather should be construed inbreadth and scope in accordance with the appended claims below.

As it employed in the subject specification, the term “processor” canrefer to substantially any computing processing unit or devicecomprising, but not limited to comprising, single-core processors;single-processors with software multithread execution capability;multi-core processors; multi-core processors with software multithreadexecution capability; multi-core processors with hardware multithreadtechnology; parallel platforms; and parallel platforms with distributedshared memory. Additionally, a processor can refer to an integratedcircuit, an application specific integrated circuit (ASIC), a digitalsignal processor (DSP), a field programmable gate array (FPGA), aprogrammable logic controller (PLC), a complex programmable logic device(CPLD), a discrete gate or transistor logic, discrete hardwarecomponents, or any combination thereof designed to perform the functionsdescribed herein. Processors can exploit nano-scale architectures suchas, but not limited to, molecular and quantum-dot based transistors,switches, and gates, in order to optimize space usage or enhanceperformance of user equipment. A processor may also be implemented as acombination of computing processing units.

In the subject specification, terms such as “store,” “storage,” “datastore,” data storage,” “database,” and substantially any otherinformation storage component relevant to operation and functionality ofa component, refer to “memory components,” or entities embodied in a“memory” or components comprising the memory. It will be appreciatedthat the memory components described herein can be either volatilememory or nonvolatile memory, or can include both volatile andnonvolatile memory.

As used in this application, the terms “component,” “system,”“platform,” “layer,” “selector,” “interface,” and the like are intendedto refer to a computer-related entity or an entity related to anoperational apparatus with one or more specific functionalities, whereinthe entity can be either hardware, a combination of hardware andsoftware, software, or software in execution. As an example, a componentmay be, but is not limited to being, a process running on a processor, aprocessor, an object, an executable, a thread of execution, a program,and/or a computer. By way of illustration and not limitation, both anapplication running on a server and the server can be a component. Oneor more components may reside within a process and/or thread ofexecution and a component may be localized on one computer and/ordistributed between two or more computers. In addition, these componentscan execute from various computer readable media having various datastructures stored thereon. The components may communicate via localand/or remote processes such as in accordance with a signal having oneor more data packets (e.g., data from one component interacting withanother component in a local system, distributed system, and/or across anetwork such as the Internet with other systems via the signal). Asanother example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry, which is operated by a software or firmwareapplication executed by a processor, wherein the processor can beinternal or external to the apparatus and executes at least a part ofthe software or firmware application. As yet another example, acomponent can be an apparatus that provides specific functionalitythrough electronic components without mechanical parts, the electroniccomponents can include a processor therein to execute software orfirmware that confers at least in part the functionality of theelectronic components.

In addition, the term “or” is intended to mean an inclusive “or” ratherthan an exclusive “or.” That is, unless specified otherwise, or clearfrom context, “X employs A or B” is intended to mean any of the naturalinclusive permutations. That is, if X employs A; X employs B; or Xemploys both A and B, then “X employs A or B” is satisfied under any ofthe foregoing instances. Moreover, articles “a” and “an” as used in thesubject specification and annexed drawings should generally be construedto mean “one or more” unless specified otherwise or clear from contextto be directed to a singular form.

Moreover, terms like “user equipment (UE),” “mobile station,” “mobile,”subscriber station,” “subscriber equipment,” “access terminal,”“terminal,” “handset,” and similar terminology, refer to a wirelessdevice utilized by a subscriber or user of a wireless communicationservice to receive or convey data, control, voice, video, sound, gaming,or substantially any data-stream or signaling-stream. The foregoingterms are utilized interchangeably in the subject specification andrelated drawings. Likewise, the terms “access point (AP),” “basestation,” “Node B,” “evolved Node B (eNode B),” “home Node B (HNB),”“home access point (HAP),” and the like, are utilized interchangeably inthe subject application, and refer to a wireless network component orappliance that serves and receives data, control, voice, video, sound,gaming, or substantially any data-stream or signaling-stream to and froma set of subscriber stations or provider enabled devices. Data andsignaling streams can include packetized or frame-based flows.

Additionally, the term “core-network”, “core”, “core carrier network”,or similar terms can refer to components of a telecommunications networkthat typically providing some or all of aggregation, authentication,call control and switching, charging, service invocation, or gateways.Aggregation can refer to the highest level of aggregation in a serviceprovider network wherein the next level in the hierarchy under the corenodes is the distribution networks and then the edge networks. UEs donot normally connect directly to the core networks of a large serviceprovider but can be routed to the core by way of a switch or radio areanetwork. Authentication can refer to determinations regarding whetherthe user requesting a service from the telecom network is authorized todo so within this network or not. Call control and switching can referdeterminations related to the future course of a call stream acrosscarrier equipment based on the call signal processing. Charging can berelated to the collation and processing of charging data generated byvarious network nodes. Two common types of charging mechanisms found inpresent day networks can be prepaid charging and postpaid charging.Service invocation can occur based on some explicit action (e.g. calltransfer) or implicitly (e.g., call waiting). It is to be noted thatservice “execution” may or may not be a core network functionality asthird party network/nodes may take part in actual service execution. Agateway can be present in the core network to access other networks.Gateway functionality can be dependent on the type of the interface withanother network.

Furthermore, the terms “user,” “subscriber,” “customer,” “consumer,”“prosumer,” “agent,” and the like are employed interchangeablythroughout the subject specification, unless context warrants particulardistinction(s) among the terms. It should be appreciated that such termscan refer to human entities or automated components (e.g., supportedthrough artificial intelligence, as through a capacity to makeinferences based on complex mathematical formalisms), that can providesimulated vision, sound recognition and so forth.

Aspects, features, or advantages of the subject matter can be exploitedin substantially any, or any, wired, broadcast, wirelesstelecommunication, radio technology or network, or combinations thereof.Non-limiting examples of such technologies or networks include Geocasttechnology; broadcast technologies (e.g., sub-Hz, ELF, VLF, LF, MF, HF,VHF, UHF, SHF, THz broadcasts, etc.); Ethernet; X.25; powerline-typenetworking (e.g., PowerLine AV Ethernet, etc.); femto-cell technology;Wi-Fi; Worldwide Interoperability for Microwave Access (WiMAX); EnhancedGeneral Packet Radio Service (Enhanced GPRS); Third GenerationPartnership Project (3GPP or 3G) Long Term Evolution (LTE); 3GPPUniversal Mobile Telecommunications System (UMTS) or 3GPP UMTS; ThirdGeneration Partnership Project 2 (3GPP2) Ultra Mobile Broadband (UMB);High Speed Packet Access (HSPA); High Speed Downlink Packet Access(HSDPA); High Speed Uplink Packet Access (HSUPA); GSM Enhanced DataRates for GSM Evolution (EDGE) Radio Access Network (RAN) or GERAN; UMTSTerrestrial Radio Access Network (UTRAN); or LTE Advanced.

What has been described above includes examples of systems and methodsillustrative of the disclosed subject matter. It is, of course, notpossible to describe every combination of components or methodologieshere. One of ordinary skill in the art may recognize that many furthercombinations and permutations of the claimed subject matter arepossible. Furthermore, to the extent that the terms “includes,” “has,”“possesses,” and the like are used in the detailed description, claims,appendices and drawings such terms are intended to be inclusive in amanner similar to the term “comprising” as “comprising” is interpretedwhen employed as a transitional word in a claim.

What is claimed is:
 1. A system, comprising: a memory to storeexecutable instructions; and a processor, coupled to the memory, thatfacilitates execution of the executable instructions to performoperations, comprising: determining a location of a user equipment basedon a first device timing measurement associated with the user equipment,a second device timing measurement associated with the user equipment,and stored timed fingerprint location information, wherein the storedtimed fingerprint location information is based on a first differentialtiming measurement for a NodeB site pair comprising a first NodeB deviceand a second NodeB device and a second differential timing measurementfor another NodeB site pair comprising a third NodeB device and a fourthNodeB device, wherein the first differential timing measurement iscorrelated to a first set of location information for a first hyperbolashaped geographic location region and the second differential timingmeasurement is correlated to a second set of location information for asecond hyperbola shaped geographic location region, each determinedbefore the stored timed fingerprint location information is stored, andwherein the first and second sets of location information and the firstand second differential timing measurements are stored as part of thestored timed fingerprint location information to facilitate determiningthe location of the user equipment based on querying the stored timedfingerprint location information to determine an overlap location regionbetween the first hyperbola shaped geographic location region and thesecond hyperbola shaped geographic location region based on the firstand second device timing measurements and the first and seconddifferential timing measurements without redetermining the first andsecond hyperbola shaped geographic location regions; and determining acompliance status for a location analytics rule based on the location ofthe user equipment.
 2. The system of claim 1, wherein the determiningthe compliance status is based on whether the location analytics rulesatisfies a spatial condition.
 3. The system of claim 1, wherein thedetermining the compliance status is based on whether the locationanalytics rule satisfies a three-dimensional spatial condition.
 4. Thesystem of claim 1, wherein the determining the compliance status isbased on whether the location analytics rule satisfies a temporalcondition.
 5. The system of claim 1, wherein the operations furthercomprise: receiving the location analytics rule comprising receiving aset of locations; and comparing the location of the user equipment tothe set of locations to determine whether the location analytics rule issatisfied.
 6. The system of claim 1, wherein the determining thelocation of the user equipment is based on the stored timed fingerprintlocation information, and wherein the stored timed fingerprint locationinformation is employed to determine the location of the user equipmentbased on sets of bin grid frames determined to overlap based ondifferential timing values for NodeB site pairs comprising the NodeBsite pair associated with the location of the user equipment.
 7. Thesystem of claim 1, wherein the operations further comprise verifying anidentity associated with the user equipment.
 8. The system of claim 7,wherein the verifying the identity employs a voiceprint of a voicereceived by the user equipment to verify the identity.
 9. The system ofclaim 7, wherein the verifying the identity employs a biometric markerto verify the identity.
 10. The system of claim 7, wherein the verifyingthe identity employs a question selected from a set of predeterminedquestions to verify the identity.
 11. The system of claim 7, wherein theverifying the identity employs a secondary identification source toverify the identity.
 12. The system of claim 11, wherein the verifyingthe identity employs an identification card determined to be associatedwith the identity as the secondary identification source.
 13. The systemof claim 11, wherein the verifying the identity employs a bank carddetermined to be associated with the identity as the secondaryidentification source.
 14. The system of claim 1, wherein the operationsfurther comprise monitoring compliance based on a compliance rule of thelocation analytics rule.
 15. A method, comprising: receiving, by asystem comprising a processor, timed fingerprint location informationassociated with a user equipment; determining a location of the userequipment based on a first timing measurement associated with the userequipment, a second timing measurement associated with the userequipment, and stored timed fingerprint location information, whereinthe stored timed fingerprint location information is based on a firstdifferential timing measurement for a NodeB site pair comprising a firstNodeB device and a second NodeB device and a second differential timingmeasurement for another NodeB site pair comprising a third NodeB deviceand a fourth NodeB device, wherein the first differential timingmeasurement is correlated to a first hyperbolic region and the seconddifferential timing measurement is correlated to a second hyperbolicregion determined before the stored timed fingerprint locationinformation is stored, and wherein an overlap of the first and secondhyperbolic regions based on the first and second device timingmeasurements facilitates determining location information withoutredetermining the first and second hyperbolic regions; and determining,by the system, compliance with a compliance metric of a locationanalytics rule based on the timed fingerprint location information. 16.The method of claim 15, further comprising verifying, by the system, anidentity associated with the user equipment.
 17. The method of claim 16,further comprising facilitating, by the system, access to a result ofthe determining the compliance and another result of verifying theidentity.
 18. The method of claim 15, further comprising enforcing, bythe system, compliance with the compliance metric of the locationanalytics rule by initiating an enforcement protocol in response to thedetermining indicating that the compliance has not been attained.
 19. Acomputer readable storage medium having instructions stored thereonthat, in response to execution, cause a system comprising a processor toperform operations, comprising: receiving timed fingerprint locationinformation associated with a user equipment from a timed fingerprintlocation information store, wherein the timed fingerprint locationinformation is based on a first differential timing measurement for aNodeB site pair comprising a first NodeB device and a second NodeBdevice and a second differential timing measurement for another NodeBsite pair comprising a third NodeB device and a fourth NodeB device,wherein the first differential timing measurement is correlated to afirst hyperbola shaped region determined before the timed fingerprintlocation information is stored, the second differential timingmeasurement is correlated to a second hyperbola shaped region determinedbefore the timed fingerprint location information is stored, and anoverlap between the first and second hyperbola shaped region is relatedto location information, and wherein the first and second differentialtiming measurements and the first and second hyperbola shaped regionscomprise the timed fingerprint location information stored to facilitatelater access to the location information without recomputation of thefirst and second hyperbola shaped regions; processing the timedfingerprint location information to determine a compliance with alocation analytics rule based on a location of the user equipmentdetermined from timing information associated with the user equipmentand the timed fingerprint location information; designating a statusvalue based on the determining the compliance with the locationanalytics rule; and facilitating access to the status value by acomponent configured to enforce the compliance by way of an enforcementprotocol.
 20. The computer readable storage medium of claim 19, whereinthe operations further comprise: verifying an identity associated withthe user equipment; and facilitating access, by the component, to aresult of the verifying the identity.